TextComputer-use agentsCodeMath and reasoning

Nanbeige 4.3

A 33B model that the authors call the senior teacher for future lightweight agents: they plan to train small models (for example 3B) on it. It is strong in programming and office tasks: on the JobBench test across 35 professions it beats the baseline in most, according to the authors. Context up to 512 thousand tokens, reasoning can be switched on and off, and tool calling works best in the XML format. The authors compare it with Qwen3.8-27B, Muse-Glimmer-30B and Gemma 4 31B and say it leads on most tests; the figures are their own. A base version is published too.

Developer
Nanbeige, China
First release
Oct 2026
Latest release
Oct 2026
Sizes
33B
License
Commercial use allowedApache 2.0
Russian
Not stated
Running
On your own serverNeeds a GPU
Industries
Software development, Customer support, Finance
Deploy on your server Hugging Face

What it does

  • an agent for programming and working with tools
  • office tasks by profession: reports, tables, document analysis
  • a base model for your own fine-tuning

Where it is used

software developmentcustomer supportfinance and office automation

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Nanbeige4.3-33B FP8, INT8, INT4
  2. Nanbeige4.3-33B-Base
  3. Nanbeige4.3-33B

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Nanbeige 4.3 be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Nanbeige 4.3 need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Nanbeige 4.3 support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download Nanbeige 4.3 and what does it cost?

The Nanbeige 4.3 weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

TextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

DetailsTextGemmaGoogle · USACommercial use allowed

Compact Google models that run well on a single computer; larger versions understand images. Includes CodeGemma for code, FunctionGemma 270M for function calling and the fast DiffusionGemma.

DetailsTextGLM (ChatGLM)Zhipu AI (Z.ai) · ChinaCommercial use with conditions

One of the oldest Chinese open lines: from ChatGLM-6B to GLM-5.3. Strong at agentic tasks and programming; GLM-5.3-Flash understands images and is released under MIT.

Details

Source: huggingface.co/Nanbeige/Nanbeige4.3-33B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.